Response Patterns of Soil Nitrogen Cycling to Crop Residue Addition: A Review

Journal of soil science and plant nutrition, Journal Year: 2024, Volume and Issue: 24(2), P. 1761 - 1774

Published: April 11, 2024

Language: Английский

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Optimal enzyme allocation leads to the constrained enzyme hypothesis: The Soil Enzyme Steady Allocation Model (SESAM v3.1)

Published: Aug. 3, 2023

Abstract. Describing the coupling of nitrogen (N), phosphorus (P), and carbon (C) cycles land ecosystems requires understanding microbial element use efficiencies soil organic matter (SOM) decomposition. These are studied by enzyme steady allocation model (SESAM) at decadal scale. The assumes that communities their develop towards an optimum where growth entire community is maximized. Specifically, SESAM approximated this optimization allocating resources to several SOM degrading enzymes proportional revenue these enzymes, called Relative approach. However, a rigorous mathematical treatment approximation has been lacking so far. Therefore, in study we derive explicit formulas maximize total return from enzymatic processing, Optimal Further, another heuristic approach prescribes change without need deriving formulation for optimal allocation, Derivative When comparing predictions across approaches, found was special case valid sufficiently high biomass. low biomass, it overestimated having lower revenues compared Derivative-based closely tracked allocation. finding more together with observing same patterns approaches increases our confidence into conclusions drawn studies. Moreover, new developments extend range conditions which can be drawn. smaller set types expressed biomass led us formulate constrained hypothesis, provides complementary explanation why some substrates preserved over decades although often being decomposed within few years incubation experiments. This shows how optimality considerations lead simplified models, insights hypotheses. It step simple representation adaptive community, required coupled stoichiometric CNP dynamic models aimed processes beyond ecosystem

Language: Английский

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Optimal enzyme allocation leads to the constrained enzyme hypothesis: the Soil Enzyme Steady Allocation Model (SESAM; v3.1)

Geoscientific model development, Journal Year: 2024, Volume and Issue: 17(7), P. 2705 - 2725

Published: April 12, 2024

Abstract. Describing the coupling of nitrogen (N), phosphorus (P), and carbon (C) cycles land ecosystems requires understanding microbial element use efficiencies soil organic matter (SOM) decomposition. These are studied by Soil Enzyme Steady Allocation Model (SESAM) at decadal scale. The model assumes that communities their develop towards an optimum where growth entire community is maximized. Specifically, SESAM approximated this optimization allocating resources to several SOM-degrading enzymes proportional revenue these enzymes, called Relative approach. However, a rigorous mathematical treatment approximation has been lacking so far. Therefore, in study we derive explicit formulas enzyme allocation maximize total return from enzymatic processing, Optimal Further, another heuristic approach prescribes change without need deriving formulation for optimal allocation, Derivative When comparing predictions across approaches, found was special case valid sufficiently high biomass. low biomass, it overestimated having lower revenues compared Derivative-based closely tracked allocation. findings increase our confidence conclusions drawn studies. Moreover, new developments extend range conditions which can be drawn. based on formulated constrained hypothesis. This hypothesis provides complementary explanation why some substrates preserved over decades, although they often decomposed within few years incubation experiments. shows how optimality considerations lead simplified models, insights, hypotheses. step simple representation adaptive community, required coupled stoichiometric C–N–P dynamic models aimed processes beyond ecosystem

Language: Английский

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Leaf Fermentation Products of Allium sativum L. Can Alleviate Apple Replant Disease (ARD)

Horticulturae, Journal Year: 2024, Volume and Issue: 10(6), P. 546 - 546

Published: May 23, 2024

Apple replant disease (ARD) is a serious threat to newly replanted apple seedlings. The alleviation of ARD great significance for the healthy development industry. In this study, we investigated effects leaf fermentation products (LFP) Allium sativum L. on soil environment and Malus hupehensis Rehd. results showed that LFP increased biomass accumulation, changed root architecture, anti-oxidant enzyme activity, decreased MDA content under conditions. addition, application nutrients activity reduced phenolic acid content. Furthermore, enriched number beneficial bacteria harmful fungi, which positively affected microbial community structure. Overall, our demonstrated A. could alleviate occurrence provide new insights reuse leaves prevention ARD.

Language: Английский

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Metatranscriptomics, Metaproteomics, and Metabolomics Approaches for Microbiome Characterization

Published: Jan. 1, 2024

Every living thing has its own unique microbiome. Environmental niches are sensitive to changes in the microbiome and how those affect them. Various methods utilizing data from various omics have been investigated gain a better understanding of these communities. To get full picture, we can use metatranscriptomics functional profile, metaproteomics identify quantify proteins, metabolomics find out which by-products emitted into environment, metagenomics create taxonomical profile sample. While there is useful information be gleaned each method independently, metabolite analysis, contrast metagenome sequencing, elucidates metabolically active population microbes rather than their genetic potential. With genome sequence information, background microbe was considered while evaluating transcriptional activity. We conclude that network-based techniques, when applied integrative investigations, provide key thorough comprehension microbiomes this chapter.

Language: Английский

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Impacts of straw addition on ryegrass (Lolium perenne L.) heavy metal absorption and microbial community structure

Plant and Soil, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 19, 2024

Language: Английский

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Comment on egusphere-2023-1492

Published: Aug. 25, 2023

Abstract. Describing the coupling of nitrogen (N), phosphorus (P), and carbon (C) cycles land ecosystems requires understanding microbial element use efficiencies soil organic matter (SOM) decomposition. These are studied by enzyme steady allocation model (SESAM) at decadal scale. The assumes that communities their develop towards an optimum where growth entire community is maximized. Specifically, SESAM approximated this optimization allocating resources to several SOM degrading enzymes proportional revenue these enzymes, called Relative approach. However, a rigorous mathematical treatment approximation has been lacking so far. Therefore, in study we derive explicit formulas maximize total return from enzymatic processing, Optimal Further, another heuristic approach prescribes change without need deriving formulation for optimal allocation, Derivative When comparing predictions across approaches, found was special case valid sufficiently high biomass. low biomass, it overestimated having lower revenues compared Derivative-based closely tracked allocation. finding more together with observing same patterns approaches increases our confidence into conclusions drawn studies. Moreover, new developments extend range conditions which can be drawn. smaller set types expressed biomass led us formulate constrained hypothesis, provides complementary explanation why some substrates preserved over decades although often being decomposed within few years incubation experiments. This shows how optimality considerations lead simplified models, insights hypotheses. It step simple representation adaptive community, required coupled stoichiometric CNP dynamic models aimed processes beyond ecosystem

Language: Английский

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Comment on egusphere-2023-1492

Published: Sept. 25, 2023

Abstract. Describing the coupling of nitrogen (N), phosphorus (P), and carbon (C) cycles land ecosystems requires understanding microbial element use efficiencies soil organic matter (SOM) decomposition. These are studied by enzyme steady allocation model (SESAM) at decadal scale. The assumes that communities their develop towards an optimum where growth entire community is maximized. Specifically, SESAM approximated this optimization allocating resources to several SOM degrading enzymes proportional revenue these enzymes, called Relative approach. However, a rigorous mathematical treatment approximation has been lacking so far. Therefore, in study we derive explicit formulas maximize total return from enzymatic processing, Optimal Further, another heuristic approach prescribes change without need deriving formulation for optimal allocation, Derivative When comparing predictions across approaches, found was special case valid sufficiently high biomass. low biomass, it overestimated having lower revenues compared Derivative-based closely tracked allocation. finding more together with observing same patterns approaches increases our confidence into conclusions drawn studies. Moreover, new developments extend range conditions which can be drawn. smaller set types expressed biomass led us formulate constrained hypothesis, provides complementary explanation why some substrates preserved over decades although often being decomposed within few years incubation experiments. This shows how optimality considerations lead simplified models, insights hypotheses. It step simple representation adaptive community, required coupled stoichiometric CNP dynamic models aimed processes beyond ecosystem

Language: Английский

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Comment on egusphere-2023-1492

Published: Oct. 10, 2023

Abstract. Describing the coupling of nitrogen (N), phosphorus (P), and carbon (C) cycles land ecosystems requires understanding microbial element use efficiencies soil organic matter (SOM) decomposition. These are studied by enzyme steady allocation model (SESAM) at decadal scale. The assumes that communities their develop towards an optimum where growth entire community is maximized. Specifically, SESAM approximated this optimization allocating resources to several SOM degrading enzymes proportional revenue these enzymes, called Relative approach. However, a rigorous mathematical treatment approximation has been lacking so far. Therefore, in study we derive explicit formulas maximize total return from enzymatic processing, Optimal Further, another heuristic approach prescribes change without need deriving formulation for optimal allocation, Derivative When comparing predictions across approaches, found was special case valid sufficiently high biomass. low biomass, it overestimated having lower revenues compared Derivative-based closely tracked allocation. finding more together with observing same patterns approaches increases our confidence into conclusions drawn studies. Moreover, new developments extend range conditions which can be drawn. smaller set types expressed biomass led us formulate constrained hypothesis, provides complementary explanation why some substrates preserved over decades although often being decomposed within few years incubation experiments. This shows how optimality considerations lead simplified models, insights hypotheses. It step simple representation adaptive community, required coupled stoichiometric CNP dynamic models aimed processes beyond ecosystem

Language: Английский

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